Evidence map›Paper›PMID 40106803›Full record

ArticleJMIR mHealth and uHealth2025

Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial.

Christine Vinci, Steve K Sutton, Min-Jeong Yang, Sarah R Jones, Santosh Kumar, David W Wetter

Registry-linked trialAbstract readAdaptive Clinical Trial
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03404596 (Applying mHealth to Tobacco-related Health Disparities), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03404596 early_phase1completednot on this map

Applying mHealth to Tobacco-related Health Disparities: Enhancing Aspects of Resiliency to Aid Cessation Efforts (Time2Quit)

TypeinterventionalSponsorH. Lee Moffitt Cancer Center and Research InstituteRan2018 to 2020Enrolled50ConditionsSmoking CessationArmsNicotine Patch, Counseling, Smartphone, AutoSense
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christine VinciMoffitt Cancer Center, Tampa, FL, United States.ORCID 0000-0001-8883-0989
Steve K SuttonMoffitt Cancer Center, Tampa, FL, United States.ORCID 0000-0002-2504-7601
Min-Jeong YangMoffitt Cancer Center, Tampa, FL, United States.ORCID 0000-0002-0956-7041
Sarah R JonesMoffitt Cancer Center, Tampa, FL, United States.ORCID 0000-0001-5513-2527
Santosh KumarUniversity of Memphis, Memphis, TN, United States.ORCID 0000-0002-9273-0291
David W WetterUniversity of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-9273-0291

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI SUSAN T VADAPARAMPIL · 1998 to 2026
$93.5M
TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
TR&D3 - Rapid Translation of AI-powered Temporally Precise mHealth Interventions via Efficient and Embeddable Trustworthy Biomarker ImplementationsP41EB028242 · NIBIB · UNIVERSITY OF MEMPHIS · PI Santosh Kumar · 2020 to 2026
$9.5M
Applying mHealth to Tobacco-related Health Disparities: Enhancing aspects of Resiliency to aid Cessation EffortsR00MD010468 · NIMHD · H. LEE MOFFITT CANCER CTR & RES INST · PI VINCI, CHRISTINE · 2017 to 2019
$741k
Mindfulness-based ecological momentary intervention for smoking cessation among cancer survivorsR00CA271040 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Min-Jeong Yang · 2025 to 2026
$461k
Mindfulness-based ecological momentary intervention for smoking cessation among cancer survivorsK99CA271040 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI YANG, MIN-JEONG · 2023 to 2024
$238k
NCI NIH HHS K99 CA271040NCI NIH HHS P30 CA076292NCI NIH HHS R00 CA271040NIBIB NIH HHS P41 EB028242NIBIB NIH HHS U54 EB020404NIMHD NIH HHS R00 MD010468
6 · The paper itself

Abstract

backgroundTobacco use remains the leading preventable cause of morbidity and mortality in the United States. Novel interventions are needed to improve smoking cessation rates. Mindfulness-based interventions (MBIs) for cessation address tobacco use by increasing awareness of the automatic nature of smoking and related behaviors (eg, reactivity to triggers for smoking) from a nonjudgmental stance. Delivering MBIs for smoking cessation via innovative technologies allows for flexibility in the timing of intervention delivery, which has the potential to improve the efficacy of cessation interventions. Research shows MBIs target key mechanisms in the smoking cessation process and can be used to minimize drivers of smoking lapse.

objectiveThis single-arm study investigated the impact of mindfulness-based strategies and motivational messages on proximal outcomes, collected via ecological momentary assessment (EMA), relevant to tobacco abstinence via a microrandomized trial. This approach allows for the evaluation of intervention content on proximal outcomes (eg, reduced negative affect) that are thought to impact positive distal outcomes (eg, smoking abstinence).

methodsAll participants were motivated to quit smoking, and the intervention they received included nicotine replacement therapy, brief individual counseling, and a 2-week Just-in-Time Adaptive Intervention (JITAI) with wearable sensors. Throughout the JITAI period, a single strategy was randomly pushed (vs not) multiple times per day through the smartphone application. An EMA next assessed negative affect, positive affect, mindfulness, abstinence self-efficacy, motivation to quit, craving, and smoking motives. The primary analyses evaluated differences in EMA outcomes (proximal) for when a strategy was pushed versus not pushed. Additional analyses evaluated changes in similar outcomes collected from surveys at the baseline and end-of-treatment visits.

resultsParticipants (N=38) were 63% (24/38) female, 18% (7/38) Hispanic or Latino, and 29% (11/38) African American. They had an average age of 49 years and smoked an average of 15 (SD 7.9) cigarettes per day. Results indicated that receiving the JITAI significantly reduced proximal negative affect in the second (and final) week of the intervention. Self-reports provided at baseline and end of treatment showed significant decreases in perceived stress, automaticity of smoking and craving, and a significant increase in abstinence self-efficacy. Increases in abstinence self-efficacy significantly predicted abstinence.

conclusionsTo our knowledge, this is the first study to test the proximal impact of a mindfulness-based JITAI on key variables associated with smoking cessation. Our primary finding was that negative affect was lower following the completion of a strategy (vs when no strategy was delivered) in the final week of the JITAI. Among a larger sample size, future research should extend the length of the intervention to further evaluate the impact of the JITAI, as well as include a comparison condition to further evaluate how each component of the intervention uniquely impacts outcomes.

trial registrationClinicalTrials.gov NCT03404596; https://clinicaltrials.gov/study/NCT03404596.

Indexed as

Smoking CessationWearable Electronic DevicesAdultEcological Momentary AssessmentFemaleHumansMaleMiddle AgedMindfulnessMotivationabstinenceadaptive interventioncessationcounselingcravingecological momentaryecological momentary assessmentEMAJITAIJust-in-Time Adaptive Interventionmeditationmicro-randomized trialmind bodymindfulnessmobile phonemotivationalnicotineNRTquittingsensorssmokerssmokingsmoking cessationstresstobaccowearables

Identifiers

PMID40106803
PMCPMC11966069

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.